I tried to use CloudDeploy to put my nicely trained network into the cloud for other people to use. However, after calling the following:


I get an unknown error. Is there a way to deploy neural networks into the cloud at this moment?

The trained net can be found here: https://www.dropbox.com/s/if91qh5ue1v6cj4/TestNet.wlnet?dl=0

Best, Max


There are two possible issues:

  1. You could be hitting a time-out
  2. The definitions aren't exported properly

Try this:

netco = CloudExport[net, "MX", Permissions -> "Public"];

form =
  FormPage[{"img" -> "Image"},
   With[{result = CloudImport[netco][#img]},
     ] &

co = CloudDeploy[form, "net_form", Permissions -> "Public"];

That will solve problem 2 and is generally fast-enough for me. Here's a sample resulting image:


I'll leave that one live here until you can confirm it works. Beware that it crushes your cloud credits. Each call takes 30-50 cloud credits for me.

If it's a time-out issue, you may need to use smaller images or a paid account.

  • $\begingroup$ I can confirm that your solution works. $\endgroup$ – MaxJ Sep 20 '17 at 14:20
  • $\begingroup$ 30-50 seconds is crazy slow $\endgroup$ – M.R. Sep 21 '17 at 2:13
  • $\begingroup$ @M.R. It's cloud credits not seconds $\endgroup$ – b3m2a1 Sep 21 '17 at 3:02
  • $\begingroup$ Oh nice, we'll I'd like to hear how it works for you in terms of time, throughput and cost - the Wolfram Cloud doesn't have gpus, and when I tried a few months back, calling a net on many or large images crashed the process very quickly. $\endgroup$ – M.R. Sep 21 '17 at 3:10
  • $\begingroup$ @M.R. I put that thing back up. Feel free to try it for yourself. In general a computation aborts if it takes more than like 5 seconds I think, so it's taking less than that. I sent in a 741kb GIF of {320, 239} pixels to get that mess up there. $\endgroup$ – b3m2a1 Sep 21 '17 at 3:54

Nontrivial convolutional neural networks do not work in the cloud, even if you have the top-tier subscription. I tried really hard to get this to work. The cloud is too flaky and not ready for prime times.


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